Conference: Artificial Intelligence in Laboratories

Objectives

This conference aims to address the impact of Artificial Intelligence (AI) on pharmaceutical laboratories and explore AI applications in analytical processes, regulatory compliance, and quality control.

Artificial Intelligence is transforming pharmaceutical laboratories by enhancing automation, data interpretation, and compliance monitoring. With the rise of machine learning, deep learning, and big data analytics, AI enables predictive analytics, anomaly detection, and process optimization, reducing human error and increasing efficiency. Regulatory authorities are increasingly focusing on these innovations to ensure AI implementation aligns with Good Laboratory Practice (GLP) and Good Manufacturing Practice (GMP) guidelines. This track will present case studies and discuss current trends, challenges, and opportunities for AI-driven laboratory operations.

Highlights

• AI in GxP laboratories
• QC/analytics case studies
• Regulatory expectations & future trends

Moderators

Dr Karl-Heinz Bauer, Training - Beratung - Coaching
(Day 1)
Isabella Küfner, Boehringer Ingelheim (Day 2)

Target Audience

• Laboratory managers, supervisors and analysts,
• Quality control managers,
• Heads of quality control,
• Qualified Persons (QPs),
• Analytical scientists,
• Senior laboratory staff,
• Responsible authorities,
• Service providers (contract research organisations and contract manufacturers).